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Fireworks Algorithm

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This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modeling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.

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Detail Information

Series Title

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Call Number

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Publisher

Springer Berlin, Heidelberg : Springer Berlin, Heidelberg., 2015

Collation

XXXIX, 323

Language

English

ISBN/ISSN

978-3-662-46353-6

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

-

Edition

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Subject(s)

Artificial Intelligence

Specific Detail Info

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Statement of Responsibility

Ying Tan

Other Information

Cataloger

Jemadi

Source

https://link.springer.com/content/pdf/10.1007/978-3-662-46353-6.pdf?pdf=button

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